Hypothesis Testing Python Packages

statsmodels

Statsmodels: statistical modeling and econometrics in Python

pandera

A light-weight, flexible, and expressive statistical data testing library

hyppo

Python package for multivariate hypothesis testing

distfit

distfit is a python library for probability density fitting.

d8s-hypothesis

Democritus functions for working with Hypothesis (https://hypothesis.readthedocs.io/en/latest/).

scitex-stats

Statistical testing framework — 23 tests, effect sizes, power analysis

shotgate

Container-native CI/CD quality gates for quantum circuits: statistically validate the probabilistic output of quantum programs across simulators and real QPUs, as declarative YAML, with drop-in exit-code gating.

bayesprop

Bayesian A/B Testing for Proportions

satvu

Lightweight API Client SDK for interacting with SatVu's APIs

pydantic-neomodel-dict

Pydantic ↔ Neomodel OGM ↔ Python Dict Converter

hypothesize

A Python package for comparing groups and measuring associations using robust statistics.

normalisr

Causal inference, differential expression, and co-expression for scRNA-seq

deepsig

Enabling easy statistical significance testing for deep neural networks.

skyllh

The SkyLLH framework is an open-source Python3-based package licensed under the GPLv3 license. It provides a modular framework for implementing custom likelihood functions and executing log-likelihood ratio hypothesis tests. The idea is to provide a class structure tied to the mathematical objects of the likelihood functions.

xtbreak

Bai–Perron structural break detection and estimation for time series and panel data. Tests for breaks, estimates break dates with confidence intervals, and selects break counts via sequential testing or information criteria.

qube2

Qube

copent

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

estyp

ESTYP: Extended Statistical Toolkit Library for Python

dnn-inference

Dnn-Inference is a Python module for hypothesis testing based on deep neural networks.

mppt

A Modern Python Package Template

mgcpy

Python package for multivariate hypothesis testing

goftests

Generic goodness of fit tests for random plain old data

faultmap

Automatically discover where and why your LLM is failing — embedding-space clustering + statistical hypothesis testing to surface input slices with elevated failure rates and audit test suite coverage gaps.

pystatpower

A Power Analysis and Sample Size Calculation Toolkit for Python